Ohio State is in the process of revising websites and program materials to accurately reflect compliance with the law. While this work occurs, language referencing protected class status or other activities prohibited by Ohio Senate Bill 1 may still appear in some places. However, all programs and activities are being administered in compliance with federal and state law.

The Coevolution of Networks and Political Attitudes

The Coevolution of Networks and Political Attitudes

Abstract

How do attitudes and social affiliations co-evolve? A long stream of research has focused on the relationship between attitudes and social affiliations. However, in most of this research the causal relationship between views and affiliations is difficult to discern definitively: Do people influence each other’s views so that they converge over time or do they primarily affiliate (by choice or happenstance) with those of similar views? Here we use longitudinal attitudinal and whole network data collected at critical times (notably, at the inception of the system) to identify robustly the determinants of attitudes and affiliations. We find significant conformity tendencies: individuals shift their political views toward the political views of their associates. This conformity is driven by social ties rather than task ties. We also find that, while individuals tend to associate with similar others, political views are notably less a basis for associational choices than demographic and institutional factors.

1. Hypothesis 1: "Individuals tend to have relationships with other individuals with similar political orientations".
2. Hypothesis 2: "In a majority liberal setting, conservatives will tend to be relatively less engaged in the network than liberals".
3. Hypothesis 3: "The political attitudes of people who have ties to each other will tend to become more similar over time".
4. Hypothesis 4: "Social influence on political attitudes will be especially powerful among people who are friends, versus among people who work together


Researcher Names:  David Lazer (Harvard University), Brian Rubineau (Cornell University), Carol Chetkovich (Mills College), Nancy Katz (Harvard University), Michael Neblo (Ohio State University)
Type of Project: Empirical research (longitudinal field experiment with social network analysis).